Mac17,2
Geekbench AI Score
13195
Single Precision Score
24591
Half Precision Score
23569
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 18 2025 06:41 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A8364) |
| Model | Mac17,2 |
| Model ID | Mac17,2 |
| Motherboard | Mac17,2 |
| CPU Information | |
|---|---|
| Name | Apple M5 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M5 |
| Base Frequency | 4.61 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6329
1.18 KIPS |
|
|
Image Classification (HP)
|
100% |
10679
1.99 KIPS |
|
|
Image Classification (Q)
|
97% |
9870
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10165
164.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16724
271.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
17213
279.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
39577
46.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
103279
120.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
111358
130.5 IPS |
|
|
Object Detection (SP)
|
100% |
6442
511.0 IPS |
|
|
Object Detection (HP)
|
100% |
11760
932.8 IPS |
|
|
Object Detection (Q)
|
93% |
10081
804.3 IPS |
|
|
Face Detection (SP)
|
100% |
18391
218.5 IPS |
|
|
Face Detection (HP)
|
100% |
34240
406.8 IPS |
|
|
Face Detection (Q)
|
100% |
26637
316.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
28612
220.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
55536
427.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
53160
415.1 IPS |
|
|
Style Transfer (SP)
|
100% |
81306
104.5 IPS |
|
|
Style Transfer (HP)
|
100% |
191026
245.6 IPS |
|
|
Style Transfer (Q)
|
96% |
210731
271.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16419
606.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33332
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30177
1.11 KIPS |
|
|
Text Classification (SP)
|
100% |
2189
2.92 KIPS |
|
|
Text Classification (HP)
|
99% |
5546
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5581
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
6347
109.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5552
95.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5519
95.4 IPS |
